Produktbild: Recent Metaheuristics Algorithms for Parameter Identification

Recent Metaheuristics Algorithms for Parameter Identification

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Studies in Computational Intelligence 854

ISBN: 3030289168
ISBN 13: 9783030289164
Autor: Cuevas, Erik/Gálvez, Jorge/Avalos, Omar
Verlag: Springer Verlag GmbH
Umfang: xiv, 297 S.
Erscheinungsdatum: 20.09.2019
Auflage: 1/2020
Produktform: Gebunden/Hardback
Einband: Gebunden

This book presents new, alternative metaheuristic developments that have proved to be effective in various complex problems to help researchers, lecturers, engineers, and practitioners solve their own optimization problems. It also bridges the gap between recent metaheuristic techniques and interesting identification system methods that benefit from the convenience of metaheuristic schemes by explaining basic ideas of the proposed applications in ways that can be understood by readers new to these fields. As such it is a valuable resource for energy practitioners who are not researchers in metaheuristics. In addition, it offers members of the metaheuristic community insights into how system identification and energy problems can be translated into optimization tasks.

Artikelnummer: 7812104 Kategorie:

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Springer Verlag GmbH
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E-Mail: juergen.hartmann@springer.com

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